Triple
T17678254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ortsbezirk 4 Bornheim/Ostend |
E440693
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Ostend
Ostend is a district of Frankfurt am Main in Germany, known for its mix of historic neighborhoods, modern developments, and the European Central Bank’s headquarters.
|
E1282543
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ostend | Statement: [Ortsbezirk 4 Bornheim/Ostend, containsAdministrativeTerritorialEntity, Ostend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ostend Context triple: [Ortsbezirk 4 Bornheim/Ostend, containsAdministrativeTerritorialEntity, Ostend]
-
A.
Ostend
Ostend is a Belgian coastal city on the North Sea known for its beaches, port, and seaside tourism.
-
B.
Ostend
Ostend is a small residential and commercial settlement on Waiheke Island in New Zealand’s Hauraki Gulf.
-
C.
Gravelines
Gravelines is a coastal commune in northern France known for its historic fortifications and strategic position along the English Channel.
-
D.
Bruges
Bruges is a historic Belgian city renowned for its well-preserved medieval architecture, picturesque canals, and rich artistic heritage.
-
E.
Bruges
Bruges is a commune in southwestern France, located near the city of Bordeaux in the Gironde department.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ostend Triple: [Ortsbezirk 4 Bornheim/Ostend, containsAdministrativeTerritorialEntity, Ostend]
Generated description
Ostend is a district of Frankfurt am Main in Germany, known for its mix of historic neighborhoods, modern developments, and the European Central Bank’s headquarters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ostend Target entity description: Ostend is a district of Frankfurt am Main in Germany, known for its mix of historic neighborhoods, modern developments, and the European Central Bank’s headquarters.
-
A.
Ostend
Ostend is a Belgian coastal city on the North Sea known for its beaches, port, and seaside tourism.
-
B.
Ostend
Ostend is a small residential and commercial settlement on Waiheke Island in New Zealand’s Hauraki Gulf.
-
C.
Gravelines
Gravelines is a coastal commune in northern France known for its historic fortifications and strategic position along the English Channel.
-
D.
Bruges
Bruges is a historic Belgian city renowned for its well-preserved medieval architecture, picturesque canals, and rich artistic heritage.
-
E.
Bruges
Bruges is a commune in southwestern France, located near the city of Bordeaux in the Gironde department.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6e959c819092d9d33e79bd51f7 |
completed | April 19, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a022325d6108190975082abcdb21ce1 |
completed | May 11, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_6a022759531c8190a77c5dc4e3ccaee6 |
completed | May 11, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0227ff79d881908ad190b2665bc63d |
completed | May 11, 2026, 7:03 p.m. |
Created at: April 10, 2026, 10:01 a.m.